Syed Muhammad Hashim Email & Phone Number

United States

Lahore, Punjab, Pakistan

Involved in migrating workloads and services from AWS & Azure to SysEleven (managed Kubernetes provider). This includes:- Designing the architecture for the Kubernetes Environment- Writing/Updating Dockerfiles for services - Creating Helm charts - Creating Deployment pipelines using Gitlab CI/CD pipeline- Secrets and Config Management- Configuring external and internal networking - Database management and configuration (Postgresql, MSSQL, MongoDB)- Deploying Kafka for event streaming- Setting up Dapr on Kubernetes to be able to run dapr configured services.- Involved in discussions with developers regarding changes to the existing services for Kubernetes environment

Lahore, Punjab, Pakistan

Worked with clients across multiple domains, including e-commerce, finance, and web3, to design, implement, and manage microservices and DevOps processes from scratch.- Built a Sitemap Generator Service in Golang which generates sitemaps periodically based on different requirement and submits them to search engines - Updated/Improved existing Helm Charts for deployment to AWS EKS clusters.- Designed and implemented the DevOps process flow from scratch: * Dockerized the services * Created CI/CD pipelines (Github Actions) * Set up the infrastructure on AWS, including networking, security and Elastic container service- Created Docker Compose file to run multiple interdependent services together.- Created Gitlab CI/CD pipelines with build, test, release, and deploy stages.- Managed and worked on various AWS services including but not limited to: * Route53 * CloudFront * Load Balancers * IAM * ECS * ECR * S3 * Parameter Store (Systems Manager) * Secrets Manager * Certificate Manger- Automated Infrastructure provisioning and management using Terraform for various environments: * Used S3 Backend to store state file remotely * Leveraged Terraform modules to prevent code repetition- Developed RESTful APIs in AWS Lambda and API Gateway using the Serverless framework.- Developed an S3 data migration service in Golang for efficient and fast transfer of large amount of data between S3 buckets by using Go's concurrency.- Used Scrapy and Selenium packages to write Python scripts for web scraping.- Provisioned AWS Batch infrastructure using Terraform to seamlessly run multiple jobs scheduled through Apache Airflow.

Lahore, Pakistan

Worked with a team of tech polygots, building and maintaining microservices while supporting, automating, and optimizing deployments in Kubernetes clusters using configuration management, CI/CD, and DevOps processes.- Implemented Server Management Service in Golang which ensures that the servers are stable, fast and rightly configured. Additionally, it maintained primary and standby servers, and proxied request to the primary server.- Implemented Serverless APIs with Azure Functions for HTTP triggers- Wrote utility functions in Lua to expose metrics for the Openresty server.- Added capability to the Script Management Server (flask python) to save and configure runtime environments for scripts on startup.- Implemented command line tool in Java using JCommander to generate an encrypted and serialized license string given a license json and the private key for the License Management Server- Implemented Json converter class in Java using Converter Interface provided by Eclipse to convert License object to json so that it can be stored in postgresql db as type json.- Integrated Flyway with License Management Server(Java Springboot application) for automated and version-based database migrations.- Added additional configuration parameters in siddhi-io-mqtt (open-source project) so that they can be configured using a siddhi script.- Containerized the services of a distributed industrial IIot platform using Docker and orchestrated them using Kubernetes.- Created ansible playbooks for automated deployment of services in a Kubernetes cluster.- Created Helm Charts to manage Kubernetes applications. Integrated ArgoCd and Helm for GitOps deployment.- Deployed and maintained production ready Kubernetes clusters- Gave platform training to new hires